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Computer Science

D-Index
40
Citations
7554
World Ranking
9238
National Ranking
285

Overview

Wenny Rahayu is a researcher affiliated with La Trobe University in Australia, specializing primarily in computer science. Their research spans multiple subfields including computer networks and communications, artificial intelligence, information systems, signal processing, and industrial and manufacturing engineering. The main focus areas encompass advanced database systems and queries, data management and algorithms, as well as IoT and edge/fog computing.

Their scientific contributions have been published predominantly in venues such as the IEEE Internet of Things Journal, the SSRN Electronic Journal, IEEE Transactions on Industrial Informatics, Computers & Security, and Future Generation Computer Systems. The frequency of publications indicates sustained engagement with themes around IoT, industrial informatics, and security.

Among their recent publications are:

  • "When Machine Learning Meets Privacy" (2021) in ACM Computing Surveys
  • "Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps" (2020) in IEEE Internet of Things Journal
  • "When Machine Learning Meets Privacy: A Survey and Outlook" (2020) in arXiv (Cornell University)
  • "Edge Computing-Assisted IoT Framework With an Autoencoder for Fault Detection in Manufacturing Predictive Maintenance" (2022) in IEEE Transactions on Industrial Informatics
  • "An Integrated Framework for Health State Monitoring in a Smart Factory Employing IoT and Big Data Techniques" (2021) in IEEE Internet of Things Journal

Wenny Rahayu's coauthor network includes collaborations with David Taniar, A. S. M. Kayes, Eric Pardede, Tharam S. Dillon, and Yuehua Liu, highlighting an interdisciplinary and collaborative research environment. These coauthors have contributed to advancements in computer science fields associated with networked systems, data analysis, and IoT technologies.

In addition to journal articles, Rahayu has contributed to book literature, including a publication titled Data Warehousing and Analytics in 2021, released by Springer International Publishing. This reflects an engagement with data-intensive research and analytics frameworks supporting business intelligence and database management.

Main topics covered in their research work include:

  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • IoT and Edge/Fog Computing
  • Big Data and Business Intelligence
  • Data Mining Algorithms and Applications
  • Network Security and Intrusion Detection
  • Semantic Web and Ontologies

Overall, Wenny Rahayu's research contributions address challenges and developments related to the integration of machine learning, privacy, and industrial IoT environments, with a notable focus on fault detection, data imputation, and smart factory monitoring.

Best Publications

  • Mobile cloud computing

    Niroshinie Fernando;Seng W. Loke;Wenny Rahayu

  • When Machine Learning Meets Privacy: A Survey and Outlook

    Bo Liu;Ming Ding;Sina Shaham;Wenny Rahayu

  • A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance

    Wenjin Yu;Tharam Dillon;Fahed Mostafa;Wenny Rahayu

  • High-Performance Parallel Database Processing and Grid Databases

    David Taniar;Clement H. C. Leung;Wenny Rahayu;Sushant Goel

  • Distributed Training of Deep Learning Models: A Taxonomic Perspective

    Matthias Langer;Zhen He;Wenny Rahayu;Yanbo Xue

  • Computing with Nearby Mobile Devices: A Work Sharing Algorithm for Mobile Edge-Clouds

    Niroshinie Fernando;Seng W. Loke;Wenny Rahayu

  • Voronoi-Based Continuous $k$ Nearest Neighbor Search in Mobile Navigation

    Geng Zhao;Kefeng Xuan;Wenny Rahayu;David Taniar

  • A Novel Structure and Access Mechanism for Mobile Data Broadcast in Digital Ecosystems

    Agustinus Borgy Waluyo;Wenny Rahayu;David Taniar;Bala Scrinivasan

  • Dynamic Mobile Cloud Computing: Ad Hoc and Opportunistic Job Sharing

    Niroshinie Fernando;Seng W. Loke;Wenny Rahayu

  • Missing Value Imputation for Industrial IoT Sensor Data With Large Gaps

    Yuehua Liu;Tharam Dillon;Wenjin Yu;Wenny Rahayu

  • Conceptual design of XML document warehouses

    Vicky Nassis;R. Rajugan;Tharam S. Dillon;Wenny Rahayu

  • A Methodology for Building XML Data Warehouses

    Laura Irina Rusu;J. Wenny Rahayu;David Taniar

  • Exception rules in association rule mining.

    David Taniar;J. Wenny Rahayu;Vincent C. S. Lee;Olena Daly

  • Voronoi-based range and continuous range query processing in mobile databases

    Kefeng Xuan;Geng Zhao;David Taniar;Wenny Rahayu

  • When Machine Learning Meets Privacy: A Survey and Outlook

    Bo Liu;Ming Ding;Sina Shaham;Wenny Rahayu

  • A taxonomy for nearest neighbour queries in spatial databases

    David Taniar;J. Wenny Rahayu

  • Empowering IoT Predictive Maintenance Solutions With AI: A Distributed System for Manufacturing Plant-Wide Monitoring

    Yuehua Liu;Wenjin Yu;Tharam Dillon;Wenny Rahayu

  • An Integrated Framework for Health State Monitoring in a Smart Factory Employing IoT and Big Data Techniques

    Wenjin Yu;Yuehua Liu;Tharam Dillon;Wenny Rahayu

  • Trustworthy-based efficient data broadcast model for P2P interaction in resource-constrained wireless environments

    Agustinus Borgy Waluyo;David Taniar;Wenny Rahayu;Ailixier Aikebaier

  • Semantic Completeness in Sub-ontology Extraction Using Distributed Methods

    Mehul Bhatt;Carlo Wouters;Andrew Flahive;J. Wenny Rahayu

  • A distributed approach to sub-ontology extraction

    M. Bhatt;A. Flahive;C. Wouters;W. Rahayu

  • Ontology driven semantic profiling and retrieval in medical information systems

    Mehul Bhatt;Wenny Rahayu;Sury Prakash Soni;Carlo Wouters

  • Archetype-Based Electronic Health Records: A Literature Review and Evaluation of Their Applicability to Health Data Interoperability and Access

    Dennis Wollersheim;Anny Sari;Wenny Rahayu

  • A Taxonomy of Indexing Schemes for Parallel Database Systems

    David Taniar;J. Wenny Rahayu

Frequent Co-Authors

David Taniar
David Taniar Monash University
Tharam S. Dillon
Tharam S. Dillon La Trobe University
Elizabeth Chang
Elizabeth Chang Griffith University
Bala Srinivasan
Bala Srinivasan Monash University
Seng Wai Loke
Seng Wai Loke Deakin University
Makoto Takizawa
Makoto Takizawa Hosei University
Seungmin Rho
Seungmin Rho Chung-Ang University
Robert Meersman
Robert Meersman Graz University of Technology
Jun Han
Jun Han Swinburne University of Technology
Arkady Zaslavsky
Arkady Zaslavsky Deakin University

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